Skip to main content
Sign in
Summit Research Repository
SIGN IN
SFU Mail
goSFU
Canvas
Library Catalogue
Search
Search
This site
SFU.ca
Submit your Research
Menu
Main navigation
Home
Collections
About
Contact
Search Summit
Search
Search
Sort by
Relevance
Title
Order
Asc
Desc
Search
Displaying 1 - 13 of 13
Domain decomposition solvers and preconditioners for the implicit closest point method
Author:
May, Ian
Date created:
2018-07-17
Spatial distribution of soil class and soil pH in the Thompson-Okanagan region, British Columbia
Author:
Zhang, Jin
Date created:
2019-09-24
Laplace-Beltrami spectra as ‘Shape-DNA’ of surfaces using the closest point method
Author:
Arteaga, Reynaldo Jose
Date created:
2014-07-28
Solving variational problems and partial differential equations mapping between manifolds via the closest point method
Author:
King, Nathan David
Date created:
2015-04-09
Modelling of Exposed Bedrock and Soil Depth in the Critical Zone of Southern British Columbia
Author:
Scarpone, Christopher Frank
Date created:
2015-09-30
Effects of bigleaf maple on the growth and morphology of mature conifers in the southern coastal forests of British Columbia.
Author:
Jamrozik, Maciej Jerzy
Date created:
2016-11-22
Regional-scale digital soil mapping in british columbia using legacy soil survey data and machine-learning techniques
Author:
Heung, Brandon
Date created:
2017-04-19
Edge aware anisotropic diffusion for 3D scalar data on regular lattices
Author:
Hossain, Zahid
Date created:
2011-04-21
On the solution of geometric PDEs on singular domains via the Closest Point Method
Author:
Rockstroh, Parousia
Date created:
2011-12-07
High-resolution digital soil mapping for managed forests using airborne LiDAR data
Author:
Kasraei, Babak
Date created:
2020-07-14
Schwarz domain decomposition algorithms for the closest point method on closed manifolds
Author:
Yazdani, Alireza
Date created:
2021-09-02
Use of LiDAR and machine-learning to predict soil attributes of managed forests
Author:
Bethel, William
Date created:
2021-12-03
Pedotransfer functions: Improving predictions through machine learning and nonlinear least squares approaches coupled with quantile regression
Author:
Arbor, Adrienne
Date created:
2023-11-24